Host Factor Interaction Networks Identified by Integrative Bioinformatics Analysis Reveals Therapeutic Implications in COPD Patients With COVID-19

• DOI: 10.3389/fphar.2021.718874
• Publication Date: 2021-12-23T20:00:01Z
• Authors: Wenjiang Zheng; Ting Wang; Peng Wu; Qian Yan; Chengxin Liu; Hui Wu; Shaofeng Zhan; Xiaohong Liu; Yong Jiang; Hongfa Zhuang
• Keywords: Pharmacology; comorbidity; 0303 health sciences; 03 medical and health sciences; COPD; COVID-19; host factor interaction networks; Therapeutics. Pharmacology; RM1-950; bioinformatics analyses; 3. Good health

Background: The COVID-19 pandemic poses an imminent threat to humanity, especially for those who have comorbidities. Evidence of and COPD comorbidities is accumulating. However, data revealing the molecular mechanism comorbid diseases limited. Methods: We got COVID-19/COPD -related genes from different databases by restricted screening conditions (top500), respectively, then supplemented with COVID-19/COPD-associated (FDR<0.05, |LogFC|≥1) clinical sample sets. By taking intersection, 42 co-morbid host factors were finally obtained. On basis shared factors, we conducted a series bioinformatics analysis, including protein-protein interaction gene ontology pathway enrichment transcription factor-gene network gene-microRNA co-regulatory tissue-specific analysis candidate drug prediction. Results: revealed comorbidity perspective factor interaction, obtained top ten 3 modules biological functions. Furthermore, signaling pathways concluded that dexamethasone, estradiol, progesterone, nitric oxide shows effective interventions. Conclusion: This study networks COPD, which could confirm potential drugs treating comorbidity, ultimately, enhancing management respiratory disease.